Summary
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Location: Barcelona (Hybrid)
Day Rate: Negotiable
Duration: 3 Months (with a potential view to extend)
Availability: ASAP
About the Client
My client is the air transport industry's IT provider, delivering solutions for airlines, airports, aircraft, and governments. Their technology powers more seamless, safe, and sustainable air travel.
About the Role
Lead enterprise data ingestion and platform design on Microsoft Fabric. Bridge business requirements into scalable, cloud-native data engineering solutions, ensuring trusted and governed data is available within OneLake/Lakehouse for downstream analytics, AI, and wider enterprise use.
Key Responsibilities
Data Architecture & Platform Design
Design scalable, cloud-native architectures leveraging Microsoft Fabric and Lakehouse principles
Define ingestion-first architectures (Source → OneLake / Lakehouse pipelines)
Implement reusable, standardised ingestion frameworks across enterprise systems
Structure data environments to support high-volume processing and enterprise analytics
Data Engineering & Automation
Apply Big Data engineering patterns to optimise ingestion, transformation, and storage layers
Design and implement automated data pipelines (batch, streaming, API, filebased ingestion)
Lead delivery of data engineering solutions including:
Data ingestion and transformation
Data standardisation and modelling
Pipeline optimisation and performance tuning
Ensure ML/AI-ready data structures aligned to advanced analytics requirements
Business Analysis & Requirements Translation
Translate business requirements into technical solutions, including:
Source-to-target mappings
Transformation logic
Data definitions and quality rules
Collaborate with stakeholders to ensure requirements are complete, actionable, and aligned to platform standards
Data Governance & Quality
Drive data governance practices including:
Data ownership and stewardship
Data lineage and traceability
Security, compliance, and regulatory adherence
Implement and enforce data quality validation frameworks
Ensure consistency and standardisation across data pipelines and domains
Stakeholder & Delivery Leadership
Manage cross-functional stakeholders across PODs, systems, and programmes
Align dependencies across business and technology teams
Continuous Improvement & Innovation
Stay current with Microsoft Fabric capabilities and evolving cloud data engineering practices
Adopt new automation, analytics, and AI technologies
Promote ML-oriented design principles to support advanced analytics use cases
Drive continuous improvement xhfqzwm in platform efficiency, scalability, and usability
What we are looking for: Key Capabilities & Attributes
Strong expertise in Microsoft Fabric and Lakehouse architecture
Proven experience in designing enterprise-scale data ingestion and pipeline frameworks
Deep knowledge of Big Data engineering patterns and automation techniques
Strong Business Analysis capability (requirements → technical translation)
Customer-centric mindset, focused on delivering business outcomes
Thought leadership and ability to influence cross‑functional teams
High level of technical curiosity and continuous learning mindset
Qualifications & Experience
Bachelor’s degree (or equivalent) in Computer Science or related discipline
8+ years’ experience in data architecture within enterprise environments
Hands‑on experience with Microsoft Fabric or modern cloud data platforms
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